Exploratory Data Analysis (EDA) with Python
Time: 11:15 – 11:45
The demand for AI/ML models and solutions keeps rising in the digital era. AI/ML models are infused into an entire digital transformation journey, from backend operation to front-end experience. Data is the key to making a successful AI/ML model. But how do we start? I will share how to perform Exploratory Data Analysis (EDA) with Python to explore and analyze the data, and prepare the fuel for AI/ML models training.
About the Speaker
Mr. Eason Lai / Microsoft
A seasoned Principle Digital Solution Architect with over 20 years of experience in application development, cloud technologies, digital solutions, big data solutions, data analytics & science, and experiences in supporting various industries enterprises. Working experience includes multinational technology giant companies & financial institutions, Microsoft & IBM, and AIA Hong Kong & Macau.
As a technical evangelist and strategist, he is very active on public speech, webinars, and contribution of technical articles, and open-source code repositories, whose topics include Artificial Intelligence, Machine Learning, Data Analytics & Science, Solution Design & Best Practices with Microsoft Azure, Azure Cognitive Services, Azure Machine Learning, and Azure Databricks. Also, he mentored data analytics and science specialization courses in Coursera (Deeplearning.ai).